Monitoring and analyzing solar energy production is essential for optimizing solar systems and ensuring efficiency. However, current methods for data collection often lack real-time monitoring and require manual intervention. There is a need for a system that automatically collects solar energy data and provides detailed insights into energy production patterns.
This project focuses on developing a solar data collector system that automatically records data such as solar panel output, environmental conditions (temperature, humidity, etc.), and other relevant metrics. The data will be stored and analyzed for better performance optimization of solar systems.